Boosting Evolutionary Support Vector Machine for Designing Tumor Classifiers from Microarray Data.
Hui-Ling HuangYi-Hsiung ChenDwight D. KoeberlShinn-Ying HoPublished in: CIBCB (2007)
Keyphrases
- microarray data
- feature selection
- support vector machine
- svm classifier
- ensemble classifier
- support vector
- gene selection
- accurate classifiers
- multi class
- gene expression data
- microarray
- training data
- gene sets
- decision boundary
- cancer diagnosis
- informative genes
- feature set
- ensemble learning
- microarray data analysis
- data sets
- text categorization
- cancer classification
- classification algorithm
- feature ranking
- classification accuracy
- gene networks
- fold cross validation
- machine learning
- weak classifiers
- small number of samples
- support vector machine svm
- gene expression
- feature subset
- training set
- feature space
- naive bayes
- boosting algorithms
- k nearest neighbor
- microarray datasets
- high dimensionality
- decision trees
- feature extraction
- gene expression profiles
- high dimensional
- text classification
- base classifiers
- cost sensitive
- breast cancer
- classification models
- binary classification
- knn
- tissue samples
- binary classifiers
- class labels
- model selection
- nearest neighbor
- data points
- data mining